Machine learning for graph-based representations of three-dimensional discrete fracture networks
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Machine learning for graph-based representations of three-dimensional discrete fracture networks
Authors
Keywords
Machine learning, Discrete fracture networks, Support vector machines, Random forest, Centrality
Journal
COMPUTATIONAL GEOSCIENCES
Volume 22, Issue 3, Pages 695-710
Publisher
Springer Nature
Online
2018-01-24
DOI
10.1007/s10596-018-9720-1
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A descriptive study of fracture networks in rocks using complex network metrics
- (2016) Elizabeth Santiago et al. COMPUTERS & GEOSCIENCES
- Understanding hydraulic fracturing: a multi-scale problem
- (2016) J. D. Hyman et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Connectivity, permeability, and channeling in randomly distributed and kinematically defined discrete fracture network models
- (2016) J. Maillot et al. WATER RESOURCES RESEARCH
- Fracture size and transmissivity correlations: Implications for transport simulations in sparse three-dimensional discrete fracture networks following a truncated power law distribution of fracture size
- (2016) J. D. Hyman et al. WATER RESOURCES RESEARCH
- Particle tracking approach for transport in three-dimensional discrete fracture networks
- (2015) Nataliia Makedonska et al. COMPUTATIONAL GEOSCIENCES
- dfn W orks : A discrete fracture network framework for modeling subsurface flow and transport
- (2015) Jeffrey D. Hyman et al. COMPUTERS & GEOSCIENCES
- Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
- (2015) J.N. Goetz et al. COMPUTERS & GEOSCIENCES
- The state of the art in monitoring and verification—Ten years on
- (2015) Charles Jenkins et al. International Journal of Greenhouse Gas Control
- Influence of injection mode on transport properties in kilometer-scale three-dimensional discrete fracture networks
- (2015) J. D. Hyman et al. WATER RESOURCES RESEARCH
- Conforming Delaunay Triangulation of Stochastically Generated Three Dimensional Discrete Fracture Networks: A Feature Rejection Algorithm for Meshing Strategy
- (2014) Jeffrey D. Hyman et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- A methodology for the characterization of flow conductivity through the identification of communities in samples of fractured rocks
- (2013) Elizabeth Santiago et al. EXPERT SYSTEMS WITH APPLICATIONS
- Pathline tracing on fully unstructured control-volume grids
- (2012) S. L. Painter et al. COMPUTATIONAL GEOSCIENCES
- Influence of fracture scale heterogeneity on the flow properties of three-dimensional discrete fracture networks (DFN)
- (2012) J.-R. de Dreuzy et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Numerical and analytical modeling of advective travel times in realistic three-dimensional fracture networks
- (2011) A. Frampton et al. WATER RESOURCES RESEARCH
- A particle tracking transport method for the simulation of resident and flux-averaged concentration of solute plumes in groundwater models
- (2010) Bruce A. Robinson et al. COMPUTATIONAL GEOSCIENCES
- Random walk particle tracking simulations of non-Fickian transport in heterogeneous media
- (2010) G. Srinivasan et al. JOURNAL OF COMPUTATIONAL PHYSICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now